Search Results: NeuromorphicComputing

A new wave of AI breakthroughs mimics human cognition and biological systems to achieve unprecedented efficiency. Innovations include neural networks that process holistically like the brain, AI that autonomously designs superior models, and self-healing biological computers—all slashing energy use by up to 94% while accelerating computation.

Explore how simplified neuron models can emulate fundamental logic gates like AND, OR, NAND, and NOR through precise spike timing and leaky membranes. Discover why XOR remains elusive for single neurons and what it reveals about biological computation.

A landmark survey paper by 45 researchers proposes a unified framework for neuroscience, artificial general intelligence, and neuromorphic systems. The work reveals how synaptic plasticity and neural mechanisms are guiding next-gen AI, while cutting-edge hardware promises brain-scale efficiency. But four critical challenges stand in the way of truly intelligent systems.